Lead Data Engineer

This position is full-time and remote Monday through Friday with an hour break

Who We Are:

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

As Lead Data Engineer working within Shared Services (one of our entities), you will be responsible for leading a team of data engineers working on designing, developing, and maintaining scalable data pipelines, a data vault, and various data warehouses and marts. You will work with stakeholders across all departments to deliver key metrics across a variety of functional areas, as well as participate in establishing data strategy.

• Lead and mentor a team of data engineers, providing guidance, support, and technical expertise
• Manage backlog grooming, sprint planning, and prioritization activities for data engineering projects
• Collaborate with business and technical leaders to set and execute both strategic and tactical initiatives
• Stay current with emerging trends and technologies in data engineering. Identify and evaluate new platforms and tools to enhance the tech stack and improve data infrastructure and processes
• Design, develop, and maintain robust data pipelines from various TMS and other data sources.
• Design and implement new data structures or extend existing structures to support evolving business requirements
• Ensure the accuracy, reliability, and completeness of data through effective data validation and monitoring processes
• Develop and maintain our Data Vault, Data Warehouse, and Data Marts to deliver key metrics to operational and business stakeholders
• Collaborate with a wide variety of users, including internal stakeholders, executives, clients, engineers, and external vendors
• Improve and harden processes like code deployments, data validation, error handling/alerting, data democratization, and modernizing tech debt

• Bachelor’s Degree required (or equivalent experience); preference in Business Administration, Mathematics, Computer Science, or related field
• Creative thinker who is intellectually curious, with a passion for solving puzzles and continuous learning
• 8+ years technology experience with one or more of the following:
  • Amazon Relational Database Service (Aurora, MySQL)
  • Microsoft SQL Server
  • Snowflake
  • Exceptional SQL development and performance tuning skills
• Strong experience with Python language, libraries, applications, and concepts:
  • Pandas
  • Streamlit
  • NumPy
  • Understanding of JSON and CSV
  • Requests
• Experience with the following is a strong plus:
  • TMS, WMS, or other enterprise logistics platforms
  • Data Vault 2.0
  • Fivetran
  • Azure Data Factory
  • REST API
  • Proficiency in clouds platforms such as AWS, Azure, or Google Cloud
  • Coalesce.io
  • YAML
• Experience with git, DevOps, and CI/CD is a strong plus
• Self-starter, entrepreneurial, highly adaptable who can take initiative in a fast-moving environment.
• Strong communication and leadership skills